CROSS-REFERENCE TO RELATED APPLICATIONS
STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH
SEQUENCE LISTING
BACKGROUND OF THE INVENTION
[0004] High-performance servers-like those powering Al (artificial intelligence) or cloud
services-generate massive heat. That heat isn't just a nuisance; it's a $13.5 billion
annual drain in the U.S. alone. Cooling accounts for 40-50% of data center power consumption.
Metric : Cooling Waste | Value : 40-50% | Source : EIA, 2024
Metric : U.S Cost (2024) | Value : $13.5B | Source : Synergy Research
Traditional systems (fans, CRAC (Computer Room Air Conditioning), liquid cooling)
dissipate heat without recovery, creating energy and thermal crossover inefficiencies.
[0005] While sCO
2 (supercritical carbon dioxide) cycles are known in industrial WHR (waste heat recovery)
(e.g., Echogen) and heat pumps in HVAC (heating, ventilation, and air conditioning),
no prior art integrates both at rack level with closed-loop byproduct recycling in
data centers. The present invention solves this by transforming waste heat into electricity
at the source.
SUMMARY OF THE INVENTION
[0006] The invention is a modular rack-level energy recovery system with dual insulated
enclosures: one for computing (Enclosure 1), one for machinery (Enclosure 2). A heat
pump extracts waste heat, cools servers, and outputs amplified heat. An sCO
2 (supercritical CO
2) power cycle converts this into electricity. A closed-loop circuit recycles all byproducts,
achieving near-zero waste and ~59% system efficiency. A new rack architecture enables
plug-and-play integration.
BRIEF DESCRIPTION OF THE DRAWINGS
[0007]
- FIG. 1: System schematic with heat, cooling, and electricity flows
- FIG. 2: Perspective view. Multiple server racks with insulated enclosures.
- FIG. 3: Closed-loop process flow
- FIG. 4: Performance vs. pressure table
- FIG. 5: Control system with sensors and VFDs (variable frequency drives)
DETAILED DESCRIPTION
[0008] The system comprises:
- a) A first insulated enclosure (Enclosure 1) housing computing equipment (0.5 kW to
500 kW per rack, 40-120°C exhaust)
- b) A second insulated enclosure (Enclosure 2) adjacent thereto, containing:
- i) A heat exchanger (~0 kW electrical input)
- ii) A heat pump (5-25 kW input, COP (coefficient of performance) 2-6, boosts heat
by 10-60°C)
- iii) An sCO2 (supercritical CO2) Brayton cycle (74-500 bar, 1-7 pressure ratio, 30-70% cycle efficiency)
[0009] The dual-enclosure rack system may be retrofitted or manufactured as a single unit
with thermal separation and fluid pathways.
[0010] Heat is captured via air, liquid, or immersion exchangers. The heat pump cools servers
to 20-50°C while amplifying heat to 60-140°C. Byproduct heat (30-70°C) is recycled.
[0011] The sCO
2 (supercritical CO
2) cycle includes compression, heat addition, expansion, and cooling, with optional
recuperation. Turbine output: 30-60% of rack power.
[0012] FIG. 5 illustrates the control system. Sensors (1) measure temperature (T), pressure
(P), flow rate, and GPU (graphics processing unit) power draw. These signals feed
into a PLC (programmable logic controller) (2) running firmware that:
- a) Analyzes real-time and historical data to predict thermal load,
- b) Pre-adjusts VFDs (variable frequency drives) (3) for:
- i) Heat pump compressor speed,
- ii) sCO2 (supercritical CO2) compressor speed,
- iii) Expansion and bypass valve timing.
The firmware uses PID (proportional-integral-derivative) control and lookup tables
to maintain optimal COP (coefficient of performance) and maximize net electricity
output across rack loads from 0.5 kW to 500 kW and beyond.
[0013] The system integrates with CRAC (Computer Room Air Conditioning), liquid loops, or
immersion cooling via bypass valves.
OPERATION
[0014] FIG. 1 illustrates one working embodiment for a rack consuming approximately 17 kW
of electrical input. In Enclosure 1, waste heat from GPU racks (~60°C, ~17 kW/rack
electrical input) is trapped by insulated panels. This heat is transferred via air
or liquid medium to a heat exchanger located in Enclosure 2, which consumes negligible
electrical power and delivers approximately 16 kW/rack of heat after minor internal
losses. The heat pump, consuming approximately 10.4 kW/rack, cools the racks by returning
air or medium at approximately 35°C to offset ~5.55 kW/rack of cooling needs, while
boosting the ~16 kW of extracted heat to approximately 80°C. Within Enclosure 2, byproduct
heat from the heat pump (~9 kW, ~40-60°C) and turbine (~11 kW, ~40-50°C) is captured
and reused by returning to the heat exchanger via a closed-loop fluid circuit, with
approximately 5 kW of turbine exhaust at ~40°C cooled to approximately 35°C by the
heat pump and combined with the rack cooling output, reinjected into Enclosure 1 as
a total cooling offset of approximately 10.6 kW at ~35°C, minimizing external waste
to near-zero (~1 kW/rack internal losses at ~60°C). The combined heat (~37 kW at ~80°C)
feeds the sCO
2 (supercritical CO
2) turbine, which consumes approximately 0.05 kW/rack and produces approximately 10.6
kW/rack of net electricity. The system consumes a total of approximately 27.5 kW/rack
of electrical input and outputs approximately 16.15 kW/rack (~95% of GPU input).
SCALABILITY
[0015] The system is fully scalable from 0.5 kW (edge computing) to 500 kW and beyond (hyperscale
AI) per rack. FIG. 4 shows performance across pressure ranges up to 500 bar. All components
scale proportionally via increased fluid flow rates, compressor capacities, heat transfer
surface areas, and pressure ratings, while maintaining the same closed-loop energy
recovery efficiency, 2.3× energy multiplier, and near-zero waste. The example in FIG.
1 is illustrative; actual performance scales linearly with rack power density.
TABLE 1 - SYSTEM COMPONENTS (FIG. 1)
| Ref. 1 | Component : GPU Racks | Function : Generate ~17 kW/rack electrical input,
~16 kW waste heat @ ~60°C |
| Ref. 2 | Component : Heat Exchanger | Function : Transfers heat from Enclosure 1 to
2 (~0 kW input) |
| Ref. 3 | Component : Heat Pump | Function : Consumes 10.4 kW/rack, boosts heat to
~80°C, cools racks to ~35°C |
| Ref. 4 | Component : sCO2 Turbine | Function : Consumes ~0.05 kW/rack, generates ~10.6 kW/rack net electricity |
| Ref. 5 | Component : Closed-Loop Circuit | Function : Recycles ~20 kW/rack byproduct
heat (9 kW + 11 kW) |
TABLE 2 -
CONTROL SYSTEM COMPONENTS (FIG. 5)
| Ref. 1 | Component : Sensors | Function : Measure temperature (T), pressure (P), flow
rate, GPU power draw |
| Ref. 2 | Component : PLC | Function : Runs firmware, processes data, executes PID
control and lookup tables |
| Ref. 3 | Component : VFDs | Function : Control compressor and valve speeds for dynamic
load matching |
1. A rack-level energy recovery system for data centers, comprising: a) a first insulated
enclosure (Enclosure 1) housing computing equipment that generates waste heat at 40-120°C;
b) a second insulated enclosure (Enclosure 2) adjacent to the first insulated enclosure,
the second insulated enclosure containing: i) a heat exchanger configured to receive
the waste heat from the computing equipment; ii) a heat pump configured to extract
the waste heat from the heat exchanger, cool the computing equipment, and output amplified
heat at a temperature higher than the waste heat; and iii) a supercritical CO2 (sCO2) power cycle utilizing the amplified heat to generate electricity; c) a closed-loop
fluid circuit that recycles byproduct heat and cooling from both the heat pump and
the sCO2 power cycle back into the system to increase total heat input to the sCO2 power cycle by at least 50%; wherein the system achieves net energy recovery with
minimal external waste.
2. A modular data center rack system comprising: a) a computing module enclosure (Enclosure
1) with integrated heat capture; b) an adjacent machinery module enclosure (Enclosure
2) with insulated separation; c) fluid and thermal pathways enabling closed-loop energy
recovery between the computing module enclosure and the machinery module enclosure;
wherein the rack system is configured to integrate with standard 19-inch server racks
and supports plug-and-play energy recovery.
3. The system of claim 1, wherein the heat pump boosts the waste heat by 10-60°C using
5-25 kW electrical input.
4. The system of claim 1, wherein the sCO2 power cycle operates at high-side pressure from 74 bar to 500 bar.
5. The system of claim 1, further comprising variable-speed compressors and sensors for
dynamic load matching.
6. The system of claim 1, wherein cooling medium is air, liquid, or immersion-based.
7. The system of claim 1, wherein the computing equipment includes GPUs (graphics processing
units), CPUs (central processing units), or AI (artificial intelligence) accelerators
consuming from 0.5 kW to at least 500 kW per rack, with all system components scaling
proportionally to maintain closed-loop energy recovery and the 2.3× energy multiplier.
8. The system of claim 1, wherein net electrical output is at least 30% of rack power
consumption.
9. The system of claim 1, wherein the enclosures are retrofittable to existing data center
infrastructure.
10. The system of claim 1, wherein the byproduct heat is recycled to preheat the sCO2 or assist heat pump evaporation.
11. The system of claim 1, wherein the byproduct heat from the heat pump and the sCO2 power cycle is recycled to increase total heat input to the turbine by at least 50%,
enabling net energy recovery of 30-60% of rack power.
REFERENCES CITED IN THE DESCRIPTION
This list of references cited by the applicant is for the reader's convenience only.
It does not form part of the European patent document. Even though great care has
been taken in compiling the references, errors or omissions cannot be excluded and
the EPO disclaims all liability in this regard.
Patent documents cited in the description